Evidence map›Paper›PMID 26579480›Full record

ArticleActa pharmaceutica Sinica. B2015

Interactions among SARS-CoV accessory proteins revealed by bimolecular fluorescence complementation assay.

Jianqiang Kong, Yanwei Shi, Zhifang Wang, Yiting Pan

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jianqiang KongState Key Laboratory of Bioactive Substance and Function of Natural Medicines & Ministry of Health Key Laboratory of Biosynthesis of Natural Products, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Yanwei ShiState Key Laboratory of Bioactive Substance and Function of Natural Medicines & Ministry of Health Key Laboratory of Biosynthesis of Natural Products, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Zhifang WangState Key Laboratory of Bioactive Substance and Function of Natural Medicines & Ministry of Health Key Laboratory of Biosynthesis of Natural Products, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Yiting PanSchool of Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accessory proteins (3a, 3b, 6, 7a, 7b, 8a, 8b, 9b and ORF14), predicted unknown proteins (PUPs) encoded by the genes, are considered to be unique to the severe acute respiratory syndrome coronavirus (SARS-CoV) genome. These proteins play important roles in various biological processes mediated by interactions with their partners. However, very little is known about the interactions among these accessory proteins. Here, a EYFP (enhanced yellow fluorescent protein) bimolecular fluorescence complementation (BiFC) assay was used to detect the interactions among accessory proteins. 33 out of 81 interactions were identified by BiFC, much more than that identified by the yeast two-hybrid (Y2H) system. This is the first report describing direct visualization of interactions among accessory proteins of SARS-CoV. These findings attest to the general applicability of the BiFC system for the verification of protein-protein interactions.

Indexed as

aa, amino acidsAccessory proteinsAD, activation domainBD, binding domainBiFC, bimolecular fluorescence complementationBimolecular fluorescence complementation assayCo-IP, co-immunoprecipitationE, envelopeEYFP, enhanced yellow fluorescent proteinM, membraneNLS, nuclear localization signalN, nucleocapsidORFs, open reading framesPCR, polymerase chain reactionPPIs, protein-protein interactionsPUPs, predicted unknown proteinsSARS-CoVSARS-CoV, severe acute respiratory syndrome coronavirusS, spikeY2HY2H, yeast two-hybrid

Identifiers

PMID26579480
PMCPMC4629423

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.